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Big Data Applications in Industry 4.0

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Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development.

Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems.

Features


An introduction to data science and the types of data analytics methods accessible today

An overview of data integration concepts, methodologies, and solutions

A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models

A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies

The application of Industry 4.0 and Big Data in the field of education

The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance

Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

3175.8 Au

Penerbit

New York : Auerbach Publications., 2022

Deskripsi Fisik

446 pages

Bahasa

English

ISBN/ISSN

9781003175889

Klasifikasi

3175.8

Tipe Isi

text

Tipe Media

other

Tipe Pembawa

online resource

Edisi

1st Edition

Subjek

Finance
Computer science
Economics
Business & Industry

Info Detail Spesifik

Tersedia versi e-booknya. Cek lampiran untuk mengakses!

Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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